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International Symposium on Multiparticle Dynamics

International Symposium on Multiparticle Dynamics

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International Symposium on Multiparticle Dynamics

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  1. International Symposium on Multiparticle Dynamics Many of you were at Volendam! 22 Years! Rick Field (experimenter?) “Min Bias and the Underlying Events in Run 2 at CDF” Rick Field (theorist?) “Jet Formation in QCD” Rick Field - Florida/CDF

  2. “Min-Bias” and the “Underlying Event”in Run 2 at CDF Outline of Talk • Discuss briefly the components of the “underlying event” of a hard scattering as described by the QCD parton-shower Monte-Carlo Models. • Review the CDF Run 1 analysis which was used to tune the multiple parton interaction parameters in PYTHIA (i.e.Tune A and Tune B). • Study the “underlying event” in CDF Run 2 as defined by the leading calorimeter jet and compare with PYTHIA Tune A (with MPI) and HERWIG (without MPI). JetClu R = 0.7 Rick Field - Florida/CDF

  3. The “Underlying Event”in Hard Scattering Processes “Min-Bias” • What happens when a high energy proton and an antiproton collide? • Most of the time the proton and antiproton ooze through each other and fall apart (i.e.no hard scattering). The outgoing particles continue in roughly the same direction as initial proton and antiproton. A “Min-Bias” collision. Are these the same? • Occasionally there will be a “hard”parton-parton collision resulting in large transverse momentum outgoing partons. Also a “Min-Bias” collision. No! • The “underlying event” is everything except the two outgoing hard scattered “jets”. It is an unavoidable background to many collider observables. “underlying event” has initial-state radiation! Rick Field - Florida/CDF

  4. Beam-Beam Remnants Maybe not all “soft”! • The underlying event in a hard scattering process has a “hard” component (particles that arise from initial & final-state radiation and from the outgoing hard scattered partons) and a “soft?” component (“beam-beam remnants”). • Clearly? the “underlying event” in a hard scattering process should not look like a “Min-Bias” event because of the “hard” component (i.e.initial & final-state radiation). • However, perhaps “Min-Bias” collisions are a good model for the “beam-beam remnant” component of the “underlying event”. Are these the same? • The “beam-beam remnant” component is, however, color connected to the “hard” component so this comparison is (at best) an approximation. Rick Field - Florida/CDF

  5. MPI: Multiple PartonInteractions • PYTHIA models the “soft” component of the underlying event with color string fragmentation, but in addition includes a contribution arising from multiple parton interactions (MPI) in which one interaction is hard and the other is “semi-hard”. • The probability that a hard scattering events also contains a semi-hard multiple parton interaction can be varied but adjusting the cut-off for the MPI. • One can also adjust whether the probability of a MPI depends on the PT of the hard scattering, PT(hard) (constant cross section or varying with impact parameter). • One can adjust the color connections and flavor of the MPI (singlet or nearest neighbor, q-qbar or glue-glue). • Also, one can adjust how the probability of a MPI depends on PT(hard) (single or double Gaussian matter distribution). Rick Field - Florida/CDF

  6. The “Transverse” Regionsas defined by the Leading Jet Look at the charged particle density in the “transverse” region! Charged Particle Df Correlations pT > 0.5 GeV/c |h| < 1 • Look at charged particle correlations in the azimuthal angle Df relative to the leading calorimeter jet (JetClu R = 0.7, |h| < 2). • Define |Df| < 60o as “Toward”, 60o < -Df < 120o and 60o < Df < 120o as “Transverse 1” and “Transverse 2”, and |Df| > 120o as “Away”. Each of the two “transverse” regions have area DhDf = 2x60o = 4p/6. The overall “transverse” region is the sum of the two transverse regions (DhDf = 2x120o = 4p/3). “Transverse” region is very sensitive to the “underlying event”! Rick Field - Florida/CDF

  7. 3 charged particles dNchg/dhdf = 3/4p = 0.24 1 charged particle Divide by 4p 1 GeV/c PTsum dNchg/dhdf = 1/4p = 0.08 3 GeV/c PTsum dPTsum/dhdf = 1/4p GeV/c = 0.08 GeV/c dPTsum/dhdf = 3/4p GeV/c = 0.24 GeV/c Particle Densities Charged Particles pT > 0.5 GeV/c |h| < 1 • Study the charged particles (pT > 0.5 GeV/c, |h| < 1) and form the charged particle density, dNchg/dhdf, and the charged scalar pT sum density, dPTsum/dhdf. CDF Run 2 “Min-Bias” DhDf = 4p = 12.6 Rick Field - Florida/CDF

  8. PYTHIA 6.206 Defaults MPI constant probability scattering PYTHIA default parameters • Plot shows the “Transverse” charged particle density versus PT(chgjet#1) compared to the QCD hard scattering predictions of PYTHIA 6.206 (PT(hard) > 0) using the default parameters for multiple parton interactions and CTEQ3L, CTEQ4L, and CTEQ5L. Run 1 Analysis Default parameters give very poor description of the “underlying event”! Note Change PARP(67) = 4.0 (< 6.138) PARP(67) = 1.0 (> 6.138) Rick Field - Florida/CDF

  9. Tuned PYTHIA 6.206 Double Gaussian PYTHIA 6.206 CTEQ5L • Plot shows the “Transverse” charged particle density versus PT(chgjet#1) compared to the QCD hard scattering predictions of two tuned versions of PYTHIA 6.206 (CTEQ5L, Set B (PARP(67)=1)and Set A (PARP(67)=4)). Run 1 Analysis Old PYTHIA default (more initial-state radiation) Old PYTHIA default (more initial-state radiation) New PYTHIA default (less initial-state radiation) New PYTHIA default (less initial-state radiation) Rick Field - Florida/CDF

  10. Tuned PYTHIA 6.206“Transverse” PT Distribution Hear more about PARP(67) in Lee Sawyer’s talk on Wednesday! PT(charged jet#1) > 30 GeV/c Can we distinguish between PARP(67)=1 and PARP(67)=4? No way! Right! PARP(67)=4.0 (old default) is favored over PARP(67)=1.0 (new default)! • Compares the average “transverse” charge particle density (|h|<1, PT>0.5 GeV) versus PT(charged jet#1) and the PT distribution of the “transverse” density, dNchg/dhdfdPT with the QCD Monte-Carlo predictions of two tuned versions of PYTHIA 6.206 (PT(hard) > 0, CTEQ5L, Set B (PARP(67)=1)and Set A (PARP(67)=4)). Rick Field - Florida/CDF

  11. PYTHIA 6.206Tune A (CDF Default) Describes the rise from “Min-Bias” to “underlying event”! Set A PT(charged jet#1) > 30 GeV/c “Transverse” <dNchg/dhdf> = 0.60 “Min-Bias” Set A Min-Bias <dNchg/dhdf> = 0.24 • Compares the average “transverse” charge particle density (|h|<1, PT>0.5 GeV) versus PT(charged jet#1) and the PT distribution of the “transverse” and “Min-Bias” densities with the QCD Monte-Carlo predictions of a tuned version of PYTHIA 6.206 (PT(hard) > 0, CTEQ5L, Set A). Describes “Min-Bias” collisions! Describes the “underlying event”! Rick Field - Florida/CDF

  12. Leading Jet Charged Particle DensityDf Dependence Run 2 • Shows the Df dependence of the charged particle density, dNchg/dhdf, for charged particles in the range pT > 0.5 GeV/c and |h| < 1 relative to jet#1 (rotated to 270o) for “leading jet” events 30 < ET(jet#1) < 70 GeV. Log Scale! Min-Bias 0.25 per unit h-f • Also shows charged particle density, dNchg/dhdf, for charged particles in the range pT > 0.5 GeV/c and |h| < 1 for “min-bias” collisions. Rick Field - Florida/CDF

  13. Charged Particle DensityDf Dependence Run 2 Refer to this as a “Leading Jet” event • Look at the “transverse” region as defined by the leading jet (JetClu R = 0.7, |h| < 2) or by the leading two jets (JetClu R = 0.7, |h| < 2). “Back-to-Back” events are selected to have at least two jets with Jet#1 and Jet#2 nearly “back-to-back” (Df12 > 150o) with almost equal transverse energies (ET(jet#2)/ET(jet#1) > 0.8). Subset Refer to this as a “Back-to-Back” event • Shows the Df dependence of the charged particle density, dNchg/dhdf, for charged particles in the range pT > 0.5 GeV/c and |h| < 1 relative to jet#1 (rotated to 270o) for 30 < ET(jet#1) < 70 GeV for “Leading Jet” and “Back-to-Back” events. Rick Field - Florida/CDF

  14. “Transverse” PTsum Densityversus ET(jet#1) Run 2 “Leading Jet” “Back-to-Back” Min-Bias 0.24 GeV/c per unit h-f • Shows the average charged PTsum density, dPTsum/dhdf, in the “transverse” region (pT > 0.5 GeV/c, |h| < 1) versus ET(jet#1) for “Leading Jet” and “Back-to-Back” events. • Compares the (uncorrected) data with PYTHIA Tune A and HERWIG after CDFSIM. Rick Field - Florida/CDF

  15. “TransMIN” PTsum Densityversus ET(jet#1) “Leading Jet” “Back-to-Back” “transMIN” is very sensitive to the “beam-beam remnant” component of the “underlying event”! • Use the leading jet to define the MAX and MIN “transverse” regions on an event-by-event basis with MAX (MIN) having the largest (smallest) charged particle density. • Shows the “transMIN” charge particle density, dNchg/dhdf, for pT > 0.5 GeV/c, |h| < 1 versus ET(jet#1) for “Leading Jet” and “Back-to-Back” events. Rick Field - Florida/CDF

  16. “Transverse” PTsum DensityPYTHIA Tune A vs HERWIG “Leading Jet” “Back-to-Back” Now look in detail at “back-to-back” events in the region 30 < ET(jet#1) < 70 GeV! • Shows the average charged PTsum density, dPTsum/dhdf, in the “transverse” region (pT > 0.5 GeV/c, |h| < 1) versus ET(jet#1) for “Leading Jet” and “Back-to-Back” events. • Compares the (uncorrected) data with PYTHIA Tune A and HERWIG after CDFSIM. Rick Field - Florida/CDF

  17. Charged PTsum DensityPYTHIA Tune A vs HERWIG HERWIG (without multiple parton interactions) does not produces enough PTsum in the “transverse” region for 30 < ET(jet#1) < 70 GeV! Hear more about the distribution of charged particles within jets in Sasha Pronko’s talk on Thursday! Rick Field - Florida/CDF

  18. Highest pT particle in the “transverse” region! “Transverse” PTmaxversus ET(jet#1) “Leading Jet” “Back-to-Back” Min-Bias • Use the leading jet to define the “transverse” region and look at the maximum pT charged particle in the “transverse” region, PTmaxT. • Shows the average PTmaxT, in the “transverse” region (pT > 0.5 GeV/c, |h| < 1) versus ET(jet#1) for “Leading Jet” and “Back-to-Back” events compared with the average maximum pT particle, PTmax, in “min-bias” collisions (pT > 0.5 GeV/c, |h| < 1). Rick Field - Florida/CDF

  19. Min-Bias “Associated”Charged Particle Density “Associated” densities do not include PTmax! Highest pT charged particle! • Use the maximum pT charged particle in the event, PTmax, to define a direction and look at the the “associated” density, dNchg/dhdf. • Shows the data on the Df dependence of the “associated” charged particle density, dNchg/dhdf, for charged particles (pT > 0.5 GeV/c, |h| < 1, not including PTmax) relative to PTmax (rotated to 180o) for “min-bias” events. Also shown is the average charged particle density, dNchg/dhdf, for “min-bias” events. Rick Field - Florida/CDF

  20. Min-Bias “Associated”Charged Particle Density Rapid rise in the particle density in the “transverse” region as PTmax increases! Transverse Region Transverse Region Ave Min-Bias 0.25 per unit h-f • Shows the data on the Df dependence of the “associated” charged particle density, dNchg/dhdf, for charged particles (pT > 0.5 GeV/c, |h| < 1, not including PTmax) relative to PTmax (rotated to 180o) for “min-bias” eventswith PTmax > 0.5, 1.0, and 2.0 GeV/c. • Shows “jet structure” in “min-bias” collisions (i.e.the “birth” of the leading two jets!). Rick Field - Florida/CDF

  21. Back-to-Back “Associated”Charged Particle Densities Maximum pT particle in the “transverse” region! “Associated” densities do not include PTmaxT! • Use the leading jet in “back-to-back” events to define the “transverse” region and look at the maximum pT charged particle in the “transverse” region, PTmaxT. • Look at the Df dependence of the “associated” charged particle and PTsum densities, dNchg/dhdf and dPTsum/dhdf for charged particles (pT > 0.5 GeV/c, |h| < 1, not including PTmaxT) relative to PTmaxT. • Rotate so that PTmaxT is at the center of the plot (i.e. 180o). Rick Field - Florida/CDF

  22. Back-to-Back “Associated”Charged Particle Density “Associated” densities do not include PTmaxT! Jet#2 Region ?? Log Scale! • Look at the Df dependence of the “associated” charged particle density, dNchg/dhdf for charged particles (pT > 0.5 GeV/c, |h| < 1, not including PTmaxT) relative to PTmaxT (rotated to 180o) for PTmaxT > 0.5 GeV/c, PTmaxT > 1.0 GeV/c and PTmaxT > 2.0 GeV/c, for “back-to-back” eventswith 30 < ET(jet#1) < 70 GeV . • Shows “jet structure” in the “transverse” region (i.e.the “birth” of the 3rd & 4th jet). Rick Field - Florida/CDF

  23. “Back-to-Back” vs “MinBias”“Associated” Charge Density “Birth” of jet#3 in the “transverse” region! “Back-to-Back” “Associated” Density “Min-Bias” “Associated” Density Log Scale! “Birth” of jet#1 in “min-bias” collisions! • Shows the Df dependence of the “associated” charged particle density, dNchg/dhdf for pT > 0.5 GeV/c, |h| < 1 (not including PTmaxT) relative to PTmaxT (rotated to 180o) for PTmaxT > 2.0 GeV/c, for “back-to-back” eventswith 30 < ET(jet#1) < 70 GeV. • Shows the data on the Df dependence of the “associated” charged particle density, dNchg/dhdf, pT > 0.5 GeV/c, |h| < 1 (not including PTmax) relative to PTmax (rotated to 180o) for “min-bias” eventswith PTmax > 2.0 GeV/c. Rick Field - Florida/CDF

  24. 0.5 1.0 1.5 2.0 Jet Topologies QCD Four Jet Topology QCD Three Jet Topology Polar Plot • Shows the Df dependence of the “associated” charged particle density, dNchg/dhdf, pT > 0.5 GeV/c, |h| < 1, PTmaxT > 2.0 GeV/c (not including PTmaxT) relative to PTmaxT (rotated to 180o) and the charged particle density, dNchg/dhdf, pT > 0.5 GeV/c, |h| < 1, relative to jet#1 (rotated to 270o) for “back-to-back events” with 30 < ET(jet#1) < 70 GeV. Rick Field - Florida/CDF

  25. “Associated” PTsum DensityPYTHIA Tune A vs HERWIG HERWIG (without multiple parton interactions) does not produce enough “associated” PTsum in the direction of PTmaxT! PTmaxT > 0.5 GeV/c And HERWIG (without multiple parton interactions) does not produce enough PTsum in the direction opposite of PTmaxT! Rick Field - Florida/CDF

  26. For PTmaxT > 2.0 GeV both PYTHIA and HERWIG produce slightly too much “associated” PTsum in the direction of PTmaxT! “Associated” PTsum DensityPYTHIA Tune A vs HERWIG PTmaxT > 2 GeV/c But HERWIG (without multiple parton interactions) produces too few particles in the direction opposite of PTmaxT! Rick Field - Florida/CDF

  27. Summary • There are some interesting correlations between the “transverse 1” and “transverse 2” regions both for “Leading-Jet” and “Back-to-Back” events! “Leading Jet” “Back-to-Back” • PYTHIA Tune A (with multiple parton scattering) does a much better job in describing these correlations than does HERWIG (without multiple parton scattering). Question: Is this a probe of multiple parton interactions? Rick Field - Florida/CDF

  28. Summary • “Back-to-Back” events have less “hard scattering” (initial and final state radiation) component in the “transverse” region which allows for a closer look at the “beam-beam remnant” and multiple parton scattering component of the “underlying” event. • PYTHIA Tune A (with multiple parton scattering) does a much better job in describing the “back-to-back” events than does HERWIG (without multiple parton scattering). “Leading Jet” “Back-to-Back” Rick Field - Florida/CDF

  29. Summary Next Step Look at the jet topologies (2 jet vs 3 jet vs 4 jet etc). See if there is an excess of 4 jet events due to multiple parton interactions! Max pT in the “transverse” region! “Associated” densities do not include PTmaxT! • The “associated” densities show strong correlations (i.e. jet structure) in the “transverse” region both for “Leading Jet” and “Back-to-Back” events. • The “birth” of the 1st jet in “min-bias” collisions looks very similar to the “birth” of the 3rd jet in the “transverse” region of hard scattering “Back-to-Back” events. Question: Is the topology 3 jet or 4 jet? Rick Field - Florida/CDF